Information Engine Converts Random Jiggling of Microscopic Particle into Stored Energy
Simon Fraser University researchers have designed a remarkably fast engine that taps into a new kind of fuel — information.
“We wanted to find out how fast an information engine can go and how much energy it can extract, so we made one,” says Bechhoefer, whose experimental group collaborated with theorists led by SFU physics professor David Sivak.
Engines of this type were first proposed over 150 years ago but actually making them has only recently become possible.
“By systematically studying this engine, and choosing the right system characteristics, we have pushed its capabilities over ten times farther than other similar implementations, thus making it the current best-in-class,” says Sivak.
The information engine designed by SFU researchers consists of a microscopic particle immersed in water and attached to a spring which, itself, is fixed to a movable stage. Researchers then observe the particle bouncing up and down due to thermal motion.
“When we see an upward bounce, we move the stage up in response,” explains lead author and PhD student Tushar Saha. “When we see a downward bounce, we wait. This ends up lifting the entire system using only information about the particle’s position.”
Repeating this procedure, they raise the particle “a great height, and thus store a significant amount of gravitational energy,” without having to directly pull on the particle.
Saha further explains that, “in the lab, we implement this engine with an instrument known as an optical trap, which uses a laser to create a force on the particle that mimics that of the spring and stage.”
Joseph Lucero, a Master of Science student adds, “in our theoretical analysis, we find an interesting trade-off between the particle mass and the average time for the particle to bounce up. While heavier particles can store more gravitational energy, they generally also take longer to move up.”
“Guided by this insight, we picked the particle mass and other engine properties to maximize how fast the engine extracts energy, outperforming previous designs and achieving power comparable to molecular machinery in living cells, and speeds comparable to fast-swimming bacteria,” says postdoctoral fellow Jannik Ehrich.
Contacts and sources:
Simon Fraser University
Publication: Maximizing power and velocity of an information engine.
Tushar K. Saha, Joseph N. E. Lucero, Jannik Ehrich, David A. Sivak, John Bechhoefer. Proceedings of the National Academy of Sciences, 2021; 118 (20): e2023356118 DOI: 10.1073/pnas.2023356118
Source: http://www.ineffableisland.com/2021/05/information-engine-converts-random.html
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